Sat.Feb 25, 2017

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Welcome to the New Era of Automation

Innovation Excellence

When Netflix put the Video Rental Retail stores in their coffins, there was still a sizable segment of people who missed the convenience, were suspect of a mail-order or streaming subscription service, or simply didn’t have the connectivity to enjoy it. Enter, RedBox. A new smart-automated adaptation of the Blockbuster model, scaled down to be.

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Magnus Penker at the Swedish Iran Chamber of Trade and Commerce Summit in Stockholm

Innovation 360

Innovation 360 Group, is collaborating with the Swedish Iran Chamber of Trade and Commerce (SWIRCTC) in their coming Marketplace Iran, which consists of a Summit (November 2017) and an Expo (February 2018). The organisers, are proud to have Magnus Penker, CEO Innovation 360 Group, as a Keynote speaker in this Summit. For further information and registration.

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Disturbing Finding on Happiness

Michael Roberto

Knowledge@Wharton reports on the intriguing, but perhaps rather disturbing, findings of Professor Maurice Schweitzer's latest research. Schweitzer has studied how people perceive others who appear to be very happy people. He explains the conclusions from the research: The pursuit of happiness is deeply embedded in our national thinking. Yet sometimes people who are very happy are exactly the kinds of people who are exploited.

Study 32
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The $750 Online Brainstorm Facilitation Training

Idea Champions

The $750 Online Brainstorm Training from Mitchell Ditkoff. More about the training.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.